Management of chlorine dosing rates in urban water distribution networks using online continuous monitoring and modeling

Karadirek, I. Ethem; Kara, Selami; Muhammetoğlu, Ayşe; Muhammetoğlu, Habib; Soyupak, Selçuk

doi:10.1080/1573062x.2014.992916

Cited by 29 publications

(10 citation statements)

References 19 publications

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“…Many studies have demonstrated that increase in natural organic matter (NOM), measured by total organic cabon (TOC) and dissolved organic carbon (DOC) as surrogates, has propotional effects on chlorine decay (Al Heboos and Licsko, 2015;Hallam et al, 2003;Powell et al, 2000;Saidan et al, 2017). Other factors, such as initial concentration, temperature, pH and flow velocity, can also affect chlorine decay in the bulk of water (Digiano and Zhang, 2005;Hallam et al, 2003;Karadirek et al, 2016;Monteiro et al, 2017;Powell et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Assessment of probable causes of chlorine decay in water distribution systems of Gaborone city, Botswana

Nono

Odirile

Basupi

et al. 2019

WSA

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Assessment of probable causes of chlorine decay in water distribution systems of Gaborone city, Botswana Gaborone city water distribution system (GCWDS) is rapidly expanding and has been faced with the major problems of high water losses due to leakage, water shortages due to drought and inadequate chlorine residuals at remote areas of the network. This study investigated the probable causes of chlorine decay, due to pipe wall conditions and distribution system water quality in the GCWDS. An experimental approach, which applied a pipe-loop network model to estimate biofilm growth and chlorine reaction rate constants, was used to analyse pipe wall chlorine decay. Also, effects of key water quality parameters on chlorine decay were analysed. The water quality parameters considered were: natural organic matter (measured by total organic carbon, TOC; dissolved organic carbon, DOC; and ultraviolet absorbance at wavelength 254, UVA-254, as surrogates), inorganic compounds (iron and manganese) and heterotrophic plate count (HPC). Samples were collected from selected locations in the GCWDS for analysis of water quality parameters. The results of biofilm growth and chlorine reaction rate constants revealed that chlorine decay was higher in pipe walls than in the bulk of water in the GCWDS. The analysis of key water quality parameters revealed the presence of TOC, DOC and significant levels of organics (measured by UVA-254), which suggests that organic compounds contributed to chlorine decay in the GCWDS. However, low amounts of iron and manganese (< 0.3 mg/L) indicated that inorganic compounds may have had insignificant contributions to chlorine decay. The knowledge gained on chlorine decay would be useful for improving water treatment and network operating conditions so that appropriate chlorine residuals are maintained to protect the network from the risks of poor water quality that may occur due to the aforementioned problems.

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Section: Introductionmentioning

confidence: 99%

Assessment of probable causes of chlorine decay in water distribution systems of Gaborone city, Botswana

Nono

Odirile

Basupi

et al. 2019

WSA

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“…The study revealed that RTM system provides excellent data-sets for chlorine modeling and management that enables automatic application of chlorine dosing. The details of the modeling work are presented in the study of Karadirek et al [26]. Recently, ASAT has installed automatic chlorine dosing equipment at Bogacay Pumping Station to keep FRC concentrations always above 0.40 mg/L at the dosing station to minimize risks.…”

Section: Water Quality Modeling Studymentioning

confidence: 98%

“…Spatial changes of FRC concentrations at 11:00 pm on July 21st, 2010 for chlorine dose of 0.35 mg/L[26].…”

mentioning

confidence: 99%

Real time monitoring and control in water distribution systems for improving operational efficiency

Kara

Karadirek

Muhammetoğlu

et al. 2015

Desalination and Water Treatment

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A B S T R A C TThe global water sector faces challenges to maintain safe, healthy, and adequate water supply to its consumers. Control of water quality and quantity by real-time monitoring (RTM) plays an important role in the management of water distribution systems (WDSs) and protection of consumers' health. RTM could be used for monitoring and analyses of water quality parameters to ensure its suitability for drinking. Additionally, RTM system warns operators to stop water supply to save water and minimize risks when needed. WDS of Antalya City is monitored and controlled by an advanced RTM and Supervisory Control and Data Acquisition (SCADA) system. Integrated RTM-SCADA system monitors and controls both hydraulic and water quality parameters to improve the WDS's operational efficiency. The system automatically controls pumps and valves and it has security alarms if any of the monitored water quality parameters fail to comply with the drinking water quality standards. This feature helps to protect WDS from the adverse impacts of an intentional or unintentional contamination event. Furthermore, RTM system is very helpful to detect water losses. Integrated RTM-SCADA system in WDSs provides many operational benefits (improved water quality, decreased operational costs, reduced customer complaints, reduction in water losses, and modeling capability) but it requires a good management system to assess huge amount of collected data.

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“…Thus, chlorine is one of the most important parameters to monitor because is used for disinfection purposes. The operator injects continuously a certain concentration of chlorine in the drinking water, usually in the reservoirs, by means of an automatic controller regulated by set-point [3]. A low concentration of chlorine can result in incomplete disinfection with consequent danger for the citizens' health.…”

Section: Introductionmentioning

confidence: 99%

Prognosis of Water Quality Sensors Using Advanced Data Analytics: Application to the Barcelona Drinking Water Network

García

Puig

Quevedo

2020

Sensors

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Water Utilities (WU) are responsible for supplying water for residential, commercial and industrial use guaranteeing the sanitary and quality standards established by different regulations. To assure the satisfaction of such standards a set of quality sensors that monitor continuously the Water Distribution System (WDS) are used. Unfortunately, those sensors require continuous maintenance in order to guarantee their right and reliable operation. In order to program the maintenance of those sensors taking into account the health state of the sensor, a prognosis system should be deployed. Moreover, before proceeding with the prognosis of the sensors, the data provided with those sensors should be validated using data from other sensors and models. This paper provides an advanced data analytics framework that will allow us to diagnose water quality sensor faults and to detect water quality events. Moreover, a data-driven prognosis module will be able to assess the sensitivity degradation of the chlorine sensors estimating the remaining useful life (RUL), taking into account uncertainty quantification, that allows us to program the maintenance actions based on the state of health of sensors instead on a regular basis. The fault and event detection module is based on a methodology that combines time and spatial models obtained from historical data that are integrated with a discrete-event system and are able to distinguish between a quality event or a sensor fault. The prognosis module analyses the quality sensor time series forecasting the degradation and therefore providing a predictive maintenance plan avoiding unsafe situations in the WDS.

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Management of chlorine dosing rates in urban water distribution networks using online continuous monitoring and modeling

Cited by 29 publications

References 19 publications

Assessment of probable causes of chlorine decay in water distribution systems of Gaborone city, Botswana

Assessment of probable causes of chlorine decay in water distribution systems of Gaborone city, Botswana

Real time monitoring and control in water distribution systems for improving operational efficiency

Prognosis of Water Quality Sensors Using Advanced Data Analytics: Application to the Barcelona Drinking Water Network

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